mirror of https://github.com/meta-llama/llama-stack.git synced 2025-06-27 18:50:41 +00:00

fix: Default to port 8321 everywhere (#1734 )

As titled, moved all instances of 5001 to 8321

2025-03-20 15:50:41 -07:00

1.7 KiB

Raw Blame History

Bedrock Distribution

:maxdepth: 2
:hidden:

self

The llamastack/distribution-{{ name }} distribution consists of the following provider configurations:

{% if run_config_env_vars %}

Environment Variables

The following environment variables can be configured:

{% for var, (default_value, description) in run_config_env_vars.items() %}

{{ var }}: {{ description }} (default: {{ default_value }}) {% endfor %} {% endif %}

{% if default_models %}

Models

The following models are available by default:

{% for model in default_models %}

{{ model.model_id }} {{ model.doc_string }} {% endfor %} {% endif %}

Prerequisite: API Keys

Make sure you have access to a AWS Bedrock API Key. You can get one by visiting AWS Bedrock.

Running Llama Stack with AWS Bedrock

You can do this via Conda (build code) or Docker which has a pre-built image.

Via Docker

This method allows you to get started quickly without having to build the distribution code.

LLAMA_STACK_PORT=8321
docker run \
  -it \
  --pull always \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  llamastack/distribution-{{ name }} \
  --port $LLAMA_STACK_PORT \
  --env AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
  --env AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
  --env AWS_SESSION_TOKEN=$AWS_SESSION_TOKEN \
  --env AWS_DEFAULT_REGION=$AWS_DEFAULT_REGION

Via Conda

llama stack build --template {{ name }} --image-type conda
llama stack run ./run.yaml \
  --port $LLAMA_STACK_PORT \
  --env AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
  --env AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
  --env AWS_SESSION_TOKEN=$AWS_SESSION_TOKEN \
  --env AWS_DEFAULT_REGION=$AWS_DEFAULT_REGION

1.7 KiB Raw Blame History